Anisa graduated from UC Berkeley with a degree in Molecular and Cell Biology. She then got her Master's in Neuroimaging and Informatics at USC. In addition to running the NEAT study, Anisa is involved in pre-processing and quality control of the structural scans, assisting with the pipeline to pre-process the diffusion weighted images for both ABB and NEAT, and white matter tractography through amygdala subnuclei in NEAT.
Kimberly graduated from California State University, Los Angeles with a bachelor’s degree in Public Health. Her work entails recruitment, outreach, database management, and data collection for the NEAT study. She also pre-processes and analyzes the activity monitor data from both ABB and NEAT to get measures of physical activity for the DORI project.
Dora received her Bachelor's degree in public health and Master's degree in biomedical sciences from the Netherlands. She specialized in environmental epidemiology. She is involved in projects that are related to air pollution, namely ABCD-AIR, ABB, and DORI. For the ABCD study, she is currently working on relating air pollution exposures to brain measures.
Sandhya graduated from USC with a Master's degree in Neuroimaging and Informatics. She is currently a PhD candidate at USC in the Neuroscience Graduate Program. Her research interests include understanding how physical exercise relates to cognitive abilities and brain outcomes during adolescence, using multimodal neuroimaging techniques and big data.
Claire graduated from UC Davis with a degree in Neurobiology, Physiology and Behavior. She ran the ABB Pilot Study which looked at the effects of air pollution on brain development and obesity in young adults. Her work evolved to include working on an R03 grant examining the associations between amygdala subnuclei and age, sex, BMI, and puberty in adolescents and creating air pollution estimates for critical periods of development for our DORI project.
Raymond graduated from UC Irvine with a Bachelor’s degree in Biological Sciences. He then got a Master of Public Health degree with a concentration in Biostatistics/ Epidemiology at USC. He is working on data entry, data analysis, and geocoding for the ABB and NEAT study.